论文标题
强大的输出法规：基于优化的合成和事件触发的实现
Robust Output Regulation: Optimization-Based Synthesis and Event-Triggered Implementation
论文作者
论文摘要
我们研究了实用输出调节的问题，即设计一个控制器，该控制器将系统输出带来所需目标值附近，同时保持其他变量有限。我们认为可能是非线性的不确定系统，其线性零件的不确定性是通过矩阵框的参数家族对元素进行建模的。提出了一个基于优化的设计程序，该过程可提供连续的时间控制并估算最大调节误差。我们还分析了该控制器的事件触发的仿真，该模拟可以在数字平台上实现，并明确估算了调节误差。
We investigate the problem of practical output regulation, i.e., to design a controller that brings the system output in the vicinity of a desired target value while keeping the other variables bounded. We consider uncertain systems that are possibly nonlinear and the uncertainty of their linear parts is modeled element-wise through a parametric family of matrix boxes. An optimization-based design procedure is proposed that delivers a continuous-time control and estimates the maximal regulation error. We also analyze an event-triggered emulation of this controller, which can be implemented on a digital platform, along with an explicit estimates of the regulation error.
